Che‐Jui Chang
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- EEG and Brain-Computer Interfaces 5
-
- Gaze Tracking and Assistive Technology 5
- Co-authors
- Chin‐Teng Lin (5 shared papers)Bor‐Shyh Lin (5 shared papers)I-Jan Wang (3 shared papers)Chih-Feng Chao (2 shared papers)Mubbasir Kapadia (4 shared papers)L. Zhao (1 shared paper)Sen Zhang (1 shared paper)Kevin C. Tseng (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Circuits and Systems (1 paper)IEEE Systems Journal (1 paper)Computer Animation and Virtual Worlds (1 paper)
- Partner nations
- TaiwanUnited StatesNetherlands
In The Last Decade
Che‐Jui Chang
10 papers receiving 331 citations
Peers
Comparison fields: 5 of 47
- Human-Computer Interaction 82
- Cognitive Neuroscience 209
- Experimental and Cognitive Psychology 127
- Cellular and Molecular Neuroscience 75
- Social Psychology 63
Countries citing papers authored by Che‐Jui Chang
This map shows the geographic impact of Che‐Jui Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Che‐Jui Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che‐Jui Chang more than expected).
Fields of papers citing papers by Che‐Jui Chang
This network shows the impact of papers produced by Che‐Jui Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Che‐Jui Chang. The network helps show where Che‐Jui Chang may publish in the future.
Co-authors
The 15 scholars most cited alongside Che‐Jui Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 211 | |
| 2 | 2012 | 67 | |
| 3 | 2012 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 8 | |
| 6 | 2010 | 8 | |
| 7 | 2010 | 4 | |
| 8 | 2018 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 |
About Che‐Jui Chang
Che‐Jui Chang is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (5 papers), EEG and Brain-Computer Interfaces (5 papers), Speech and Audio Processing (2 papers), Sleep and Work-Related Fatigue (2 papers), Evacuation and Crowd Dynamics (1 paper), Natural Language Processing Techniques (1 paper), Artificial Intelligence in Games (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in Human-Computer Interaction (82 citations), Cognitive Neuroscience (209 citations), Experimental and Cognitive Psychology (127 citations), Cellular and Molecular Neuroscience (75 citations) and Social Psychology (63 citations). Che‐Jui Chang has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Chin‐Teng Lin, Bor‐Shyh Lin, I-Jan Wang, Chih-Feng Chao, Mubbasir Kapadia, L. Zhao, Sen Zhang, Kevin C. Tseng, Chi‐Feng Chen and Yi-Chun Lin. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Systems Journal and Computer Animation and Virtual Worlds.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.